Research & Innovation

Artificial intelligence has become a part of everyday conversation, often with advice like, "You just have to learn how to prompt it." While that advice holds some truth, it misses a deeper layer of what makes AI truly effective. Recently, a term has started to gain traction among AI researchers and practitioners: context engineering. This concept might be the key to unlocking AI’s full potential, especially for those working with automation and intelligent agents. I’ve spent

By Timm Johnson | Dakota Intelligence | Theoretical Physics Research There's a number in physics that nobody likes to talk about at dinner. It's 10¹²⁰. A 1 followed by 120 zeroes. That's the ratio between what quantum field theory predicts the vacuum energy of the universe should be, and what we actually observe. It's not a small rounding error. It's not an off-by-a-few-percent calibration issue. It's the largest known discrepancy between theory and observation in the history

By Timm Johnson | Dakota Intelligence Research Lab | April 2026 Independent theoretical physics research from Mitchell, South Dakota. No institution. No permission slip. Just the work. The Question Nobody's Asking Quite Right Physics has two great theories. Both are spectacularly successful. Both are almost certainly incomplete. Quantum mechanics rules the subatomic world with brutal precision. General relativity bends space and time across galactic scales. They work beautifu